Raj Singh
@rajsingh7
Aspiring Data Analyst | Excel, SQL, Power BI | Real-World Dashboard Projects | Open to Remote Roles
What I'm looking for
I’m a passionate and detail-oriented aspiring Data Analyst skilled in Excel, SQL, Power BI, and basic Python. I’ve completed multiple real-world data projects including Netflix Dashboard, HR Attrition and many more.
I enjoy uncovering patterns in data, building interactive dashboards, and delivering actionable insights. Currently exploring pandas and Python visualization libraries to strengthen my analysis further.
I’m seeking a remote-friendly data analyst role where I can contribute to business insights while continuously learning and growing. Open to entry-level roles, internships, or freelance data analytics opportunities.
Experience
Work history, roles, and key accomplishments
Online Course Engagement Dashboard
Self Employed
Developed an interactive Excel dashboard connected to PostgreSQL to analyze engagement, dropouts, and revenue. Automated data refresh, reducing manual reporting time by 50% using Power Pivot and advanced SQL queries.
Adidas Shoe Sales EDA
Self Employed
Performed exploratory data analysis on retail sales data to identify top-performing products, regions, and seasonal trends. Derived insights projected to increase marketing ROI by 15% based on identified customer segments.
Netflix Viewing Behavior & Recommendation Dashboard
Self Employed
Designed a 4-page dashboard analyzing 50,000+ viewing records to uncover time-based trends and improve recommendations. Optimized visuals (clustered charts, KPI cards) highlighting 6+ key metrics across content type and region.
HR Attrition & Retention Dashboard
Self Employed
Designed and deployed an interactive dashboard tracking attrition trends, KPIs, and retention metrics. Implemented advanced DAX measures and slicers for dynamic filtering by department, tenure, and region.
Education
Degrees, certifications, and relevant coursework
Assam DownTown University
B.Tech in Computer Science and Engineering, Computer Science and Engineering
2021 - 2025
Grade: 8.63 CGPA
Activities and societies: Relevant Coursework: Statistics, Data Mining, Data Cleaning, Data Wrangling, Database Management Systems, Probability & Linear Algebra
Studied Computer Science and Engineering, focusing on key areas such as Statistics, Data Mining, Data Cleaning, Data Wrangling, Database Management Systems, Probability, and Linear Algebra. Gained a strong foundation in theoretical concepts and practical applications relevant to data analysis and computer science.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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